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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,101 servers. Last updated -

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    This application is a powerful browser monitoring and interaction tool that enables AI-powered applications via Anthropic's Model Context Protocol (MCP) to capture and analyze browser data through a Chrome extension.
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    MIT License
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    Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.
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    Enables AI tools to interact with your browser for enhanced frontend development, providing context-rich capabilities like API call analysis, screenshot capture, element inspection, and API testing with automatic authentication.
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    A browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through a Chrome extension via Anthropic's Model Context Protocol.
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    A browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through a Chrome extension, supporting functions like console monitoring, screenshots, DOM analysis, and website auditing.
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    A concurrent browser MCP server that supports multiple parallel browser instances
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    Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.
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    • Apple
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    A Docker-based workspace providing headless Chrome browser with CDP proxy and noVNC interface for browser automation and monitoring.
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    An MCP server that enables AI assistants to control a web browser through natural language commands, allowing them to navigate websites and extract information via SSE transport.
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    MIT License
    • Apple
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    A MCP server that allows AI assistants to interact with the browser, including getting page content as markdown, modifying page styles, and searching browser history.
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    An MCP server that connects any MCP client (like Claude or Cursor) with the browser using browser-use, allowing clients to utilize existing LLMs without requiring additional API keys.
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    Apache 2.0
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    A Model Context Protocol server that enables LLMs to interact with VS Code's Simple Browser, allowing for browser control, JavaScript execution, console monitoring, and navigation through natural language.
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    This MCP server provides tools for interacting with Cloudflare Browser Rendering, allowing you to fetch and process web content for use as context in LLMs directly from Cline or Claude Desktop.
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    An MCP server that allows users to interact with their browser through natural language commands, enabling actions like getting page content as markdown, modifying page styles, and searching browser history.
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    Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.
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    Apache 2.0
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    Enables AI agents to perform undetectable browser automation that bypasses Cloudflare, antibots, and social media blocks. Provides 105 tools for element extraction, network debugging, and real-world web scraping with a 98.7% success rate on protected sites.
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    MIT License
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    Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript.
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    Enables automation of browser tasks using Playwright by interacting via Claude Desktop for executing user-defined prompts and operations.
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    An advanced web browsing server enabling headless browser interactions via a secure API, providing features like navigation, content extraction, element interaction, and screenshot capture.
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    MIT License
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    Provides stealth browser capabilities using Playwright with anti-detection techniques, allowing MCP clients to navigate websites and take screenshots while evading common bot detection systems.
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    MIT License
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    An MCP server paired with a Firefox extension that enables LLM clients to control the user's browser, supporting tab management, history search, and content reading.
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    MIT License
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    A local MCP server for retrieving and analyzing your browser history. Makes it easy for a client to identify patterns, analyze sessions, and create a comprehensive report.
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    MIT License
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    AI-driven browser automation server that implements the Model Context Protocol to enable natural language control of web browsers for tasks like navigation, form filling, and visual interaction.
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    • Apple
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    Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.
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    Enables intelligent web scraping through a browser automation tool that can search Google, navigate to webpages, and extract content from various websites including GitHub, Stack Overflow, and documentation sites.
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    A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.
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    MIT License
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    MCP server enabling LLMs to perform browser tasks via SSE transport, allowing clients like Cursor.ai and Claude to open websites and interact with web content through natural language commands.
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    • Apple
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    A session-based MCP server that provides advanced browser automation capabilities, allowing users to control browsers, navigate websites, interact with elements, capture screenshots, generate PDFs, and manage cookies through natural language.
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    MIT License
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    Enables AI assistants to capture screenshots of web pages using automated browser sessions. Supports full-page and element-specific screenshots, device simulation, and JavaScript execution for comprehensive web testing and monitoring.
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    Browser Agent MCP
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    TypeScript
    Mozilla Public License 2.0
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    A Model Context Protocol server that enables AI assistants to control a real web browser with stealth capabilities, avoiding bot detection while performing tasks like clicking, filling forms, taking screenshots, and extracting data.
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    A FastMCP server that enables browser automation through natural language commands, allowing Language Models to browse the web, fill out forms, click buttons, and perform other web-based tasks via a simple API.
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